{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 04 Stack Vs Concat In PyTorch, TensorFlow & NumPy - Deep Learning Tensor Ops\n",
    "\n",
    "## Tensor Ops For Deep Learning: Concatenate Vs Stack\n",
    "**In this episode, we will dissect the difference between concatenating and stacking tensors together. We’ll look at two examples, one with PyTorch, one with NumPy.**\n",
    "\n",
    "## Existing Vs New Axes\n",
    "The **difference** between **stacking** and **concatenating** tensors can be described in a single sentence, so here goes.\n",
    "\n",
    "***Concatenating* joins a sequence of tensors along an *existing axis*, and *stacking* joins a sequence of tensors along a *new axis***.\n",
    "\n",
    "And that’s all there is to it!\n",
    "\n",
    "This is the **difference** between stacking and concatenating. However, the description here is kind of tricky, so let’s look at some **examples** to get a handle on what exactly how this can be better understood. We’ll look at stacking and concatenating in PyTorch, TensorFlow, and NumPy. Let’s do it.\n",
    "\n",
    "For the most part, **concatenating** along an existing axis of a tensor is pretty **straight forward**. The confusion usually arises when we want to **concat along a new axis**. For this we **stack**. Another way of saying that we stack is to say that we **create a new axis and then concat on that axis**.\n",
    "\n",
    "| **Join Method** | **Where** |\n",
    "| -- | -- |\n",
    "| Concatenate | Along an existing axis |\n",
    "| Stack | Along a new axis|\n",
    "\n",
    "For this reason, let’s be sure we know how to **create a new axis** for a given tensor, and then we’ll start stacking and concatenating."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### How To Add Or Insert An Axis Into A Tensor\n",
    "To demonstrate this idea of adding an axis, we’ll use PyTorch."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "t1 = torch.tensor([1,1,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we’re importing PyTorch and creating a simple tensor that has **a single axis** of **length three**. Now, to **add an axis** to a tensor in PyTorch, we use the `unsqueeze()` function. Note that this is the opposite of squeezing."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[1, 1, 1]])"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1.unsqueeze(dim=0)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here, we are we are **adding an axis**, a.k.a dimension at index zero of this tensor. This gives us a tensor with a shape of `1 x 3`. When we say index **zero of the tensor**, we mean the **first index** of the tensor's shape.\n",
    "\n",
    "Now, we can also **add an axis** at the **second index** of this tensor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[1],\n",
       "        [1],\n",
       "        [1]])"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1.unsqueeze(dim=1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This gives us a tensor with a shape of `3 x 1`. Adding axes like this changes the way the data is organized inside the tensor, but it **does not change the data itself**. Basically, we are just **reshaping** the tensor. We can see that by checking the shape of each one of these."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([3])\n"
     ]
    }
   ],
   "source": [
    "print(t1.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([1, 3])\n"
     ]
    }
   ],
   "source": [
    "print(t1.unsqueeze(dim=0).shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "torch.Size([3, 1])\n"
     ]
    }
   ],
   "source": [
    "print(t1.unsqueeze(dim=1).shape)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, thinking back about concatenating verses stacking, when we **concat**, we are **joining a sequence of tensors along an existing axis**. This means that we are **extending the length of an existing axis**.\n",
    "\n",
    "When we **stack**, we are **creating a new axis** that didn’t exist before and this happens across all the tensors in our sequence, and then we **concat along this new sequence**."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stack Vs Cat In PyTorch\n",
    "\n",
    "With PyTorch the two functions we use for these operations are `stack` and `cat`. Let’s create a sequence of tensors."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "\n",
    "t1 = torch.tensor([1,1,1])\n",
    "t2 = torch.tensor([2,2,2])\n",
    "t3 = torch.tensor([3,3,3])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let’s **concatenate** these with one another. Notice that each of these tensors have **a single axis**. This means that the **result** of the cat function will also have **a single axis**. This is because when we concatenate, we do it along an **existing axis**. Notice that in this example, the only existing axis is the **first axis**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([1, 1, 1, 2, 2, 2, 3, 3, 3])"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.cat(\n",
    "    (t1,t2,t3)\n",
    "    ,dim=0\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alright, so we took **three single axis** tensors each having an axis length of three, and now we have a single tensor with **an axis length of nine**.依旧是一个中括号，维度没有增加\n",
    "\n",
    "Now, let’s **stack** these tensors along a new axis that we’ll insert. We’ll insert an axis at the first index. Note that this insertion will be happening implicitly under the hood by the stack function."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[1, 1, 1],\n",
       "        [2, 2, 2],\n",
       "        [3, 3, 3]])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.stack(\n",
    "    (t1,t2,t3)\n",
    "    ,dim=0\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This gives us a new tensor that has a shape of `3 x 3`. Notice how the three tensors are concatenated along the **first axis** of this tensor. Note that we can also **insert the new axis** explicitly, and preform the concatenation directly.现在的tensor变为了两个中括号，维度增加了一维\n",
    "\n",
    "\n",
    "To see that this statement is true. Let’s **add a new axis** of length one to all of our tensors by **unsqueezing** them and then, **cat** along the **first axis**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[1, 1, 1],\n",
       "        [2, 2, 2],\n",
       "        [3, 3, 3]])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.cat(\n",
    "    (\n",
    "         t1.unsqueeze(0)\n",
    "        ,t2.unsqueeze(0)\n",
    "        ,t3.unsqueeze(0)\n",
    "    )\n",
    "    ,dim=0\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this case, we can see that we get the **same result** that we got by **stacking**. However, the call to **stack** was **much cleaner** because the new axis insertion was handed by the stack function.\n",
    "\n",
    "**Concatenation happens along an existing axis.**\n",
    "\n",
    "Note that we **cannot** concat this sequence of tensors along the **second axis** because there currently is **no second axis in existence**, so in this case, stacking is our only option.\n",
    "\n",
    "Let’s try stacking along the second axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[1, 2, 3],\n",
       "        [1, 2, 3],\n",
       "        [1, 2, 3]])"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "torch.stack(\n",
    "    (t1,t2,t3)\n",
    "    ,dim=1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[1, 2, 3],\n",
       "        [1, 2, 3],\n",
       "        [1, 2, 3]])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Alright, we stack with respect to the second axis and this is the result.\n",
    "torch.cat(\n",
    "    (\n",
    "         t1.unsqueeze(1)\n",
    "        ,t2.unsqueeze(1)\n",
    "        ,t3.unsqueeze(1)\n",
    "    )\n",
    "    ,dim=1\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To understand this result, think back to what it looked like when we inserted a new axis at the end of the tensor. Now, we just do that to all our tensors, and we can cat them like so along the second axis. Inspecting the unsqueezed outputs can help make this solid."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[1],\n",
       "        [1],\n",
       "        [1]])"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t1.unsqueeze(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[2],\n",
       "        [2],\n",
       "        [2]])"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t2.unsqueeze(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "tensor([[3],\n",
       "        [3],\n",
       "        [3]])"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t3.unsqueeze(1)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stack Vs Concatenate In NumPy\n",
    "Let's work with NumPy now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "\n",
    "t1 = np.array([1,1,1])\n",
    "t2 = np.array([2,2,2])\n",
    "t3 = np.array([3,3,3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 1, 2, 2, 2, 3, 3, 3])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Here, we've created our three tensors. Now, let's concatenate them with one another.\n",
    "np.concatenate(\n",
    "    (t1,t2,t3)\n",
    "    ,axis=0\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alright, this gives us what we expect. Note that NumPy also used the axis parameter name, but here, we are also seeing another naming variation. NumPy uses the full word concatenate as the function name.\n",
    "\n",
    "| **Library** | **Function Name** |\n",
    "| -- | -- |\n",
    "| PyTorch | `cat()` |\n",
    "| NumPy | `concatenate() ` |\n",
    "\n",
    "Okay, let's stack now."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 1, 1],\n",
       "       [2, 2, 2],\n",
       "       [3, 3, 3]])"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.stack(\n",
    "    (t1,t2,t3)\n",
    "    ,axis=0\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 1, 1],\n",
       "       [2, 2, 2],\n",
       "       [3, 3, 3]])"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# As expected, the result is a rank-2 tensor with a shape of 3 x 3. Now, \n",
    "# we'll try the manual way.\n",
    "np.concatenate(\n",
    "    (\n",
    "         np.expand_dims(t1, 0)\n",
    "        ,np.expand_dims(t2, 0)\n",
    "        ,np.expand_dims(t3, 0)\n",
    "    )\n",
    "    ,axis=0\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that the result is the **same** as when we used the `stack()` function. Additionally, observe that NumPy also uses the term `expand dims` for the function name.\n",
    "\n",
    "Now, we'll finish this off by stacking using the **second axis**."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3],\n",
       "       [1, 2, 3],\n",
       "       [1, 2, 3]])"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.stack(\n",
    "    (t1,t2,t3)\n",
    "    ,axis=1\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([[1, 2, 3],\n",
       "       [1, 2, 3],\n",
       "       [1, 2, 3]])"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# And, with manual insertion.\n",
    "np.concatenate(\n",
    "    (\n",
    "         np.expand_dims(t1, 1)\n",
    "        ,np.expand_dims(t2, 1)\n",
    "        ,np.expand_dims(t3, 1)\n",
    "    )\n",
    "    ,axis=1\n",
    ")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Stack Or Concat: Real-Life Examples\n",
    "Here are three **concrete examples** that we can encounter in real life. Let’s decide when we need to **stack** and when we need to **concat**.\n",
    "\n",
    "### Joining Images Into A Single Batch\n",
    "Suppose we have **three individual images** as tensors. Each image tensor has **three dimensions**, a *channel axis*, a *height axis*, a *width axis*. Note that each of these tensors are **separate** from one another. Now, assume that our task is to join these tensors together to form **a single batch** tensor of three images.\n",
    "\n",
    "*Do we concat or do we stack?*\n",
    "\n",
    "Well, notice that in this example, there are **only three dimensions** in existence, and for a batch, we need **four dimensions**. This means that the answer is to **stack** the tensors along a **new axis**. This new axis will be the **batch axis**. This will give us a single tensor with four dimensions by adding one for the batch.\n",
    "\n",
    "Note that **if** we join these three along any of the **existing dimensions**, we would be **messing up** either the channels, the height, or the width. We don’t want to mess our data up like that."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([3, 3, 28, 28])"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch\n",
    "t1 = torch.zeros(3,28,28)\n",
    "t2 = torch.zeros(3,28,28)\n",
    "t3 = torch.zeros(3,28,28)\n",
    "\n",
    "torch.stack(\n",
    "    (t1,t2,t3)\n",
    "    ,dim=0\n",
    ").shape\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Joining Batches Into A Single Batch\n",
    "Now, suppose we have the same **three images** as before, but this time the images **already have a dimension for the batch**. This actually means we have **three batches of size one**. Assume that it is our task to obtain **a single batch of three images**.\n",
    "\n",
    "*Do we concat or stack?*\n",
    "\n",
    "Well, notice how there is an **existing dimension** that we can concat on. This means that we concat these along the batch dimension. In this case there is **no need to stack**.\n",
    "\n",
    "Here is a code example of this:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([3, 3, 28, 28])"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch\n",
    "t1 = torch.zeros(1,3,28,28)\n",
    "t2 = torch.zeros(1,3,28,28)\n",
    "t3 = torch.zeros(1,3,28,28)\n",
    "torch.cat(\n",
    "    (t1,t2,t3)\n",
    "    ,dim=0\n",
    ").shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Joining Images With An Existing Batch\n",
    "Suppose we have the same **three separate image tensors**. Only, this time, we already have **a `batch` tensor**. Assume our task is to join these three separate images with the batch.\n",
    "\n",
    "*Do we concat or do we stack?*\n",
    "\n",
    "Well, notice how the **batch axis already exists** inside the `batch` tensor. However, for the **images**, there is **no batch axis** in existence. This means neither of these will work. To join with stack or cat, we need the tensors to have **matching shapes**. So then, are we stuck? Is this impossible?\n",
    "\n",
    "It is indeed possible. It’s actually a very common task. The answer is to **first stack** and **then to concat**.\n",
    "\n",
    "We **first stack** the **three image** tensors with respect to the first dimension. This creates a new batch dimension of length three. Then, we can **concat** this new tensor with the `batch` tensor."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([6, 3, 28, 28])"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import torch\n",
    "batch = torch.zeros(3,3,28,28)\n",
    "t1 = torch.zeros(3,28,28)\n",
    "t2 = torch.zeros(3,28,28)\n",
    "t3 = torch.zeros(3,28,28)\n",
    "\n",
    "torch.cat(\n",
    "    (\n",
    "        batch\n",
    "        ,torch.stack(\n",
    "            (t1,t2,t3)\n",
    "            ,dim=0\n",
    "        )\n",
    "    )\n",
    "    ,dim=0\n",
    ").shape\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([6, 3, 28, 28])"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# In the same way:\n",
    "import torch\n",
    "batch = torch.zeros(3,3,28,28)\n",
    "t1 = torch.zeros(3,28,28)\n",
    "t2 = torch.zeros(3,28,28)\n",
    "t3 = torch.zeros(3,28,28)\n",
    "\n",
    "torch.cat(\n",
    "    (\n",
    "        batch\n",
    "        ,t1.unsqueeze(0)\n",
    "        ,t2.unsqueeze(0)\n",
    "        ,t3.unsqueeze(0)\n",
    "    )\n",
    "    ,dim=0\n",
    ").shape\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quiz 04\n",
    "Q1:Concatenating a sequence of tensors joins them along _______________.  \n",
    "A1:an existing axis\n",
    "\n",
    "Q2:Stacking a sequence of tensors joins them along _______________.  \n",
    "A2:a new axis\n",
    "\n",
    "Q3:What will be the output of the code below?  \n",
    "```python\n",
    "t1 = torch.tensor([1,1,1])\n",
    "t1.unsqueeze(dim=0)\n",
    "```\n",
    "A3:`tensor([[1, 1, 1]])`\n",
    "\n",
    "Q4:In PyTorch, we concatenate using which function?  \n",
    "A4:`cat()`\n",
    "\n",
    "Q5:In NumPy, we concatenate using which function?  \n",
    "A5:`concatenate()`\n",
    "\n",
    "Q6:Suppose we have the three images below. Assume our task is to join these images into a single batch. How is this done in PyTorch?  \n",
    "```python\n",
    "t1 = torch.zeros(3,28,28)\n",
    "t2 = torch.zeros(3,28,28)\n",
    "t3 = torch.zeros(3,28,28)\n",
    "```\n",
    "A6:`torch.stack( (t1,t2,t3), dim=0 )`\n",
    "\n",
    "Q7:Suppose we have the three single image batches below. Assume our task is to join these batches into a single batch. How is this done in PyTorch?\n",
    "```python\n",
    "t1 = torch.zeros(1,3,28,28)\n",
    "t2 = torch.zeros(1,3,28,28)\n",
    "t3 = torch.zeros(1,3,28,28)\n",
    "```\n",
    "A7:`torch.cat( (t1,t2,t3), dim=0 )`\n",
    "\n",
    "Q8:Suppose we have a batch with three images, and we have three single images. This is expressed in the code below. Now, assume that our task is to join the three images with the batch. What are the steps?  \n",
    "```python\n",
    "batch = torch.zeros(3,3,28,28)\n",
    "t1 = torch.zeros(3,28,28)\n",
    "t2 = torch.zeros(3,28,28)\n",
    "t3 = torch.zeros(3,28,28)\n",
    "```\n",
    "A8:stack the images then cat the result with the batch\n",
    "\n",
    "---\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 05 TensorBoard With PyTorch - Visualize Deep Learning Metrics\n",
    "\n",
    "## Using TensorBoard With PyTorch\n",
    "\n",
    "**In this episode, we will learn how to use TensorBoard to visualize metrics of our CNN during the neural network training process.**\n",
    "\n",
    "At this point in the series, we've just finished running our network through the training process. Now, we want to get more **metrics** about this process to better understand just what's going on under the hood.\n",
    "\n",
    "Bird's eye view of where we are in the training process.\n",
    "* Prepare the data\n",
    "* Build the model\n",
    "* Train the model\n",
    "* Analyze the model's results\n",
    "  * **Using TensorBoard for this**\n",
    "  \n",
    "## TensorBoard: TensorFlow's Visualization Toolkit\n",
    "\n",
    "[TensorBoard](https://www.tensorflow.org/tensorboard/) provides the visualization and tooling needed for machine learning experimentation:\n",
    "* Tracking and visualizing metrics such as loss and accuracy\n",
    "* Visualizing the model graph (ops and layers)\n",
    "* Viewing histograms of weights, biases, or other tensors as they change over time\n",
    "* Projecting embeddings to a lower dimensional space\n",
    "* Displaying images, text, and audio data\n",
    "* Profiling TensorFlow programs\n",
    "* And much more"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.6.0\n"
     ]
    }
   ],
   "source": [
    "import torch\n",
    "print(torch.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "from torch.utils.tensorboard import SummaryWriter"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Installing TensorBoard For PyTorch\n",
    "To install TensorBoard for PyTorch, use the following steps:\n",
    "1. Verify that you are running PyTorch version 1.1.0 or greater.\n",
    "2. Verify that you are running TensorBoard version 1.15 or greater.\n",
    "3. Note that the TensorBoard that PyTorch uses is the same TensorBoard that was created for TensorFlow. Check the version of TensorBoard installed on your system using the this command:\n",
    "```python\n",
    "tensorboard --version\n",
    "```\n",
    "4. Install TensorBoard using the following command.\n",
    "```python\n",
    "pip install tensorboard\n",
    "```\n",
    "5. After getting TensorBoard version 1.15 or greater installed, we're ready to go!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Getting Started With TensorBoard For PyTorch\n",
    "TensorBoard is a **front-end web interface** that essentially reads data from a file and displays it. To use TensorBoard our task is to get the data we want displayed saved to a file that TensorBoard can read.\n",
    "\n",
    "To make this easy for us, PyTorch has created a utility class called `SummaryWriter`. To get access to this class we use the following import:\n",
    "```python\n",
    "from torch.utils.tensorboard import SummaryWriter\n",
    "```\n",
    "\n",
    "Once we have imported the class, we can create an instance of the class that we'll then use to get the data out of our program and onto the file system where it can then be consumed by TensorBoard."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import torch\n",
    "import torch.nn as nn\n",
    "import torch.nn.functional as F\n",
    "import torch.optim as optim\n",
    "\n",
    "import torchvision\n",
    "import torchvision.transforms as transforms\n",
    "\n",
    "torch.set_printoptions(linewidth=120) # Display options for output\n",
    "torch.set_grad_enabled(True) # Already on by default\n",
    "\n",
    "from torch.utils.tensorboard import SummaryWriter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.6.0\n",
      "0.7.0\n"
     ]
    }
   ],
   "source": [
    "print(torch.__version__)\n",
    "print(torchvision.__version__)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_num_correct(preds,labels):\n",
    "    return preds.argmax(dim = 1).eq(labels).sum().item()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Network(nn.Module):\n",
    "    def __init__(self):\n",
    "        super().__init__()\n",
    "        self.conv1 = nn.Conv2d(in_channels=1,out_channels=6,kernel_size=5)\n",
    "        self.conv2 = nn.Conv2d(in_channels=6,out_channels=12,kernel_size = 5)\n",
    "        \n",
    "        self.fc1 = nn.Linear(in_features = 12*4*4,out_features = 120)\n",
    "        self.fc2 = nn.Linear(in_features = 120,out_features = 60)\n",
    "        self.out = nn.Linear(in_features = 60,out_features = 10)\n",
    "        \n",
    "    def forward(self,t):\n",
    "        # (1) input layer\n",
    "        t = t\n",
    "\n",
    "        # (2) hidden conv layer\n",
    "        t = self.conv1(t)\n",
    "        t = F.relu(t)\n",
    "        t = F.max_pool2d(t, kernel_size=2, stride=2)\n",
    "\n",
    "        # (3) hidden conv layer\n",
    "        t = self.conv2(t)\n",
    "        t = F.relu(t)\n",
    "        t = F.max_pool2d(t, kernel_size=2, stride=2)\n",
    "\n",
    "        # (4) hidden linear layer\n",
    "        t = t.reshape(-1, 12 * 4 * 4)\n",
    "        t = self.fc1(t)\n",
    "        t = F.relu(t)\n",
    "\n",
    "        # (5) hidden linear layer\n",
    "        t = self.fc2(t)\n",
    "        t = F.relu(t)\n",
    "\n",
    "        # (6) output layer\n",
    "        t = self.out(t)\n",
    "        #t = F.softmax(t, dim=1)\n",
    "\n",
    "        return t"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_set = torchvision.datasets.FashionMNIST(\n",
    "    root = './data/FashionMNIST'\n",
    "    ,train = True\n",
    "    ,download = True\n",
    "    ,transform = transforms.Compose([\n",
    "        transforms.ToTensor()\n",
    "    ])\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "network = Network()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "optimizer = optim.Adam(network.parameters(), lr=0.01)\n",
    "train_loader = torch.utils.data.DataLoader(train_set,batch_size=100,shuffle=True)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Network Graph And Training Set Images\n",
    "The `SummaryWriter` class comes with a bunch of **method** that we can call to selectively pick and choose which data we want to be available to **TensorBoard**. We'll start by first by passing our network and a batch of images to the writer."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "tb = SummaryWriter()\n",
    "\n",
    "network = Network()\n",
    "images, labels = next(iter(train_loader))\n",
    "grid = torchvision.utils.make_grid(images)\n",
    "\n",
    "tb.add_image('images', grid)\n",
    "tb.add_graph(network, images)\n",
    "tb.close()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This code creates a `SummaryWriter` instance called `tb` for TensorBoard. Then, creates an instance of our PyTorch *network* and unpacks a batch of images and labels from our [PyTorch data loader object](https://deeplizard.com/learn/video/mUueSPmcOBc).\n",
    "\n",
    "Then, the images and the network are added to the file that TensorBoard will consume. Effectively, we can say that the network **graph** and the batch of **images** have both been added to TensorBoard."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Running TensorBoard\n",
    "\n",
    "To launch TensorBoard, we need to run the tensorboard command at our terminal. This will launch a **local server** that will serve the TensorBoard UI and the the data our `SummaryWriter` wrote to disk.\n",
    "\n",
    "By default, the PyTorch SummaryWriter object writes the data to disk in a directory called `./runs` that is created in the current working directory.\n",
    "\n",
    "When we run the tensorboard command, we pass an argument that tells tensorboard where the data is. So it's like this:\n",
    "```python\n",
    "tensorboard --logdir=runs\n",
    "```\n",
    "\n",
    "The TensorBoard server will launch and be listening for http requests on port 6006. These details will be displayed in the console.\n",
    "\n",
    "Access the TensorBoard UI by browsing to:\n",
    "```python\n",
    "http://localhost:6006\n",
    "```\n",
    "\n",
    "Here, we will be able to see our network graph and our image data. At the current moment, this does provide us with a visual, but it's not as useful as what comes next."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## TensorBoard Histograms And Scalars\n",
    "The next import types of data we can add to TensorBoard is **numerical data**. We can add **scalar values** that will be displayed over time or over epoch. We can also add values to **histograms** to see frequency distributions of values.\n",
    "\n",
    "To add scalars and histograms we use the corresponding methods provided by the PyTorch SummaryWriter class.\n",
    "\n",
    "Here is an example of the calls:\n",
    "```python\n",
    "tb.add_scalar('Loss', total_loss, epoch)\n",
    "tb.add_scalar('Number Correct', total_correct, epoch)\n",
    "tb.add_scalar('Accuracy', total_correct / len(train_set), epoch)\n",
    "\n",
    "tb.add_histogram('conv1.bias', network.conv1.bias, epoch)\n",
    "tb.add_histogram('conv1.weight', network.conv1.weight, epoch)\n",
    "tb.add_histogram('conv1.weight.grad', network.conv1.weight.grad, epoch)\n",
    "```\n",
    "\n",
    "And here is an example of where we would place these calls inside our **training loop**:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 0 total_correct: 46935 loss: 339.5066616535187\n",
      "epoch 1 total_correct: 51087 loss: 238.97124218940735\n",
      "epoch 2 total_correct: 51737 loss: 221.3547101765871\n",
      "epoch 3 total_correct: 52177 loss: 209.68773962557316\n",
      "epoch 4 total_correct: 52412 loss: 202.3382965028286\n",
      "epoch 5 total_correct: 52498 loss: 200.30101904273033\n",
      "epoch 6 total_correct: 52761 loss: 194.76089023053646\n",
      "epoch 7 total_correct: 52934 loss: 191.10468831658363\n",
      "epoch 8 total_correct: 52948 loss: 191.87293355166912\n",
      "epoch 9 total_correct: 53159 loss: 185.86073012650013\n"
     ]
    }
   ],
   "source": [
    "network = Network()\n",
    "train_loader = torch.utils.data.DataLoader(train_set, batch_size=100)\n",
    "optimizer = optim.Adam(network.parameters(), lr=0.01)\n",
    "\n",
    "images, labels = next(iter(train_loader))\n",
    "grid = torchvision.utils.make_grid(images)\n",
    "\n",
    "tb = SummaryWriter()\n",
    "tb.add_image('images', grid)\n",
    "tb.add_graph(network, images)\n",
    "\n",
    "for epoch in range(10):\n",
    "\n",
    "    total_loss = 0\n",
    "    total_correct = 0\n",
    "\n",
    "    for batch in train_loader: # Get Batch\n",
    "        images,labels = batch\n",
    "\n",
    "        preds = network(images)# Pass Batch\n",
    "        loss = F.cross_entropy(preds,labels)# Calculate Loss\n",
    "        \n",
    "        optimizer.zero_grad()\n",
    "        loss.backward()# Calculate Gradient\n",
    "        optimizer.step()# Update Weights\n",
    "        \n",
    "        total_loss += loss.item()\n",
    "        total_correct += get_num_correct(preds,labels)\n",
    "\n",
    "    tb.add_scalar('Loss', total_loss, epoch)\n",
    "    tb.add_scalar('Number Correct', total_correct, epoch)\n",
    "    tb.add_scalar('Accuracy', total_correct / len(train_set), epoch)\n",
    "\n",
    "    tb.add_histogram('conv1.bias', network.conv1.bias, epoch)\n",
    "    tb.add_histogram('conv1.weight', network.conv1.weight, epoch)\n",
    "    tb.add_histogram('conv1.weight.grad',network.conv1.weight.grad,epoch)\n",
    "\n",
    "    print(\n",
    "        \"epoch\", epoch, \n",
    "        \"total_correct:\", total_correct, \n",
    "        \"loss:\", total_loss\n",
    "    )\n",
    "\n",
    "tb.close()"
   ]
  },
  {
   "attachments": {
    "scalars.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![scalars.png](attachment:scalars.png)"
   ]
  },
  {
   "attachments": {
    "distributions.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![distributions.png](attachment:distributions.png)"
   ]
  },
  {
   "attachments": {
    "histogram.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![histogram.png](attachment:histogram.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This will add these values to TensorBoard. The values even update in real-time as the network trains.\n",
    "\n",
    "It is helpful to see the loss and accuracy values over time. However, we might need to admit that TensorBoard really isn't needed for this.\n",
    "\n",
    "The **real power** of TensorBoard is its **out-of-the-box** capability of comparing **multiple runs**. This allows us to rapidly experiment by varying the hyperparameter values and comparing runs to see which parameters are working best."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quiz 05\n",
    "Q1:Complete the `import` statement below:\n",
    "```python\n",
    "from torch.utils.tensorboard import ?\n",
    "```\n",
    "A1:SummaryWriter\n",
    "\n",
    "Q2:TensorBoard is a _______________ interface that reads data from a file and displays it using various graphs.  \n",
    "A2:front-end\n",
    "\n",
    "Q3:To write data to files that TensorBoard can consume, which PyTorch class do we use?  \n",
    "A3:SummaryWriter\n",
    "\n",
    "Q4:To launch TensorBoard, we run the _______________ command at our terminal. This will launch a _______________ that will serve the TensorBoard UI and the the data produced by our PyTorch SummaryWriter.  \n",
    "A4:tensorboard, server\n",
    "\n",
    "Q5:By default, TensorBoard uses which port?  \n",
    "A5:6006\n",
    "\n",
    "Q6:How do we get the TensorBoard version in the terminal?  \n",
    "A6:tensorboard --version_tb\n",
    "\n",
    "Q7:What line of code should come right after the code below?  \n",
    "```python\n",
    "tb = SummaryWriter()\n",
    "\n",
    "network = Network()\n",
    "images, labels = next(iter(train_loader))\n",
    "grid = torchvision.utils.make_grid(images)\n",
    "\n",
    "tb.add_image('images', grid)\n",
    "tb.add_graph(network, images)\n",
    "?\n",
    "```\n",
    "A7:tb.close()\n",
    "\n",
    "Q8:What parameter do we pass to the tensorboard program to tell the program where the data is on disk?  \n",
    "A8:--logdir\n",
    "\n",
    "---\n",
    "---"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 06 Hyperparameter Tuning And Experimenting - Training Deep Neural Networks\n",
    "\n",
    "## Hyperparameter Tuning And Experimenting\n",
    "\n",
    "**In this episode, we will see how we can use TensorBoard to rapidly experiment with different training hyperparameters to more deeply understand our neural network.**\n",
    "\n",
    "* Prepare the data\n",
    "* Build the model\n",
    "* Train the model\n",
    "* Analyze the model's results\n",
    "  * Hyperparameter Experimentation\n",
    "  \n",
    "At this point in the series, we've seen how to build and train a CNN with PyTorch. In the last episode, we showed how to used TensorBoard with PyTorch, and we reviewed the training process.\n",
    "\n",
    "This episode is considered to be a part two of the last one, so if you haven't seen the previous one yet, go ahead and check it out to get the details needed to understand what we are doing here. What we are doing now is experimenting with our hyperparameter values.\n",
    "\n",
    "## Hyperparameter Experimentation Using TensorBoard\n",
    "The best part about TensorBoard is its **out-of-the-box** capability of **tracking** our **hyperparameters** over time and across runs.<br>\n",
    "<br>\n",
    "<center><b>Changing hyperparameters and comparing the results.</b></center>\n",
    "<br>\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Naming The Training Runs For TensorBoard\n",
    "\n",
    "To take advantage of TensorBoard comparison capabilities, we need to do **multiple runs** and name each run in such a way that we can identify it **uniquely**.\n",
    "\n",
    "With PyTorch's `SummaryWriter`, a run **starts** when the writer object instance is **created** and **ends** when the writer instance is **closed** or goes out of scope.\n",
    "\n",
    "To **uniquely** identify each run, we can either set the **file name** of the run directly, or pass a **comment** string to the constructor that will be appended to the *auto-generated file name*.\n",
    "\n",
    "At the time of the creation of this post, the name of the run is contained inside the `SummaryWriter` in an attribute called `log_dir`. It is created like this:\n",
    "\n",
    "```python\n",
    "# PyTorch version 1.1.0 SummaryWriter class\n",
    "if not log_dir:\n",
    "    import socket\n",
    "    from datetime import datetime\n",
    "    current_time = datetime.now().strftime('%b%d_%H-%M-%S')\n",
    "    log_dir = os.path.join(\n",
    "        'runs', \n",
    "        current_time + '_' + socket.gethostname() + comment\n",
    "    )\n",
    "self.log_dir = log_dir\n",
    "```\n",
    "\n",
    "Here, we can see that the `log_dir` attribute, which corresponds to the location on disk and the name of the run, is set to `runs + time + host + comment`. This is of course assuming that the `log_dir` parameter doesn't have a value that was passed in. Hence, this is the default behavior.\n",
    "\n",
    "### Choosing A Name For The Run\n",
    "One way to name the run is to add the parameter names and values as a **comment** for the run. This will allow us to see how each parameter value stacks up with the others later when we are reviewing the runs inside TensorBoard.\n",
    "\n",
    "We'll see that this is how we set the comment up later:\n",
    "```python\n",
    "tb = SummaryWriter(comment=f' batch_size={batch_size} lr={lr}')\n",
    "```\n",
    "\n",
    "TensorBoard also has querying capabilities, so we can easily isolate parameter values though queries.\n",
    "\n",
    "For example, imagine this SQL query:\n",
    "<center><b>SELECT * FROM TBL_RUNS WHERE lr = 0.01 </b></center>\n",
    "Without the SQL, this is basically what we can do inside TensorBoard.\n",
    "\n",
    "## Creating Variables For Our Hyperparameters\n",
    "To make the experimentation easy, we will pull out our hard-coded values and turn them into variables.\n",
    "\n",
    "This is the hard-coded way:\n",
    "```python\n",
    "network = Network()\n",
    "train_loader = torch.utils.data.DataLoader(\n",
    "    train_set, batch_size=100\n",
    ")\n",
    "optimizer = optim.Adam(\n",
    "    network.parameters(), lr=0.01\n",
    ")\n",
    "```\n",
    "\n",
    "Notice how the `batch_size` and `lr` parameter values are hard-coded.\n",
    "\n",
    "This is what we change it to (now our values are set using variables):\n",
    "```python\n",
    "batch_size = 100\n",
    "lr = 0.01\n",
    "\n",
    "network = Network()\n",
    "train_loader = torch.utils.data.DataLoader(\n",
    "    train_set, batch_size=batch_size\n",
    ")\n",
    "optimizer = optim.Adam(\n",
    "    network.parameters(), lr=lr\n",
    ")\n",
    "```\n",
    "\n",
    "This will allow us to change the values in a single place and have them propagate through our code.\n",
    "\n",
    "Now, we will create the value for our comment parameter using the variables like so:\n",
    "```python\n",
    "tb = SummaryWriter(comment=f' batch_size={batch_size} lr={lr}')\n",
    "```\n",
    "With this setup, we can change the value of our hyperparameters and our runs will be automatically tracked and identifiable in TensorBoard.\n",
    "\n",
    "## Calculate Loss With Different Batch Sizes\n",
    "Since we'll be varying our **batch sizes** now, we'll need to make a change to the way we are calculating and accumulating the loss. Instead of just summing the loss returned by the loss function. We'll adjust it to **account** for the batch size.\n",
    "```python\n",
    "total_loss += loss.item() * batch_size\n",
    "```\n",
    "\n",
    "Why do this? We'll the `cross_entropy` loss function **averages** the loss values that are produced by the batch and then returns this average loss. This is why we need to account for the batch size.\n",
    "\n",
    "There is a parameter that the `cross_entropy` function accepts called `reduction` that we could also use.\n",
    "\n",
    "The reduction parameter optionally accepts a **string** as an **argument**. This parameter specifies the reduction to apply to the output of the loss function.\n",
    "1. `'none'` - no reduction will be applied.\n",
    "2. `'mean'` - the sum of the output will be divided by the number of elements in the output.\n",
    "3. `'sum'` - the output will be summed.\n",
    "**Note that the default is `'mean'`. This is why `loss.item() * batch_size works`.**\n",
    "\n",
    "## Experimenting With Hyperparameter Values\n",
    "Now that we have this setup, we can do more!\n",
    "\n",
    "All we need to do is create some **lists** and some **loops**, and we can run the code and sit back and wait for all the **combinations** to run.\n",
    "\n",
    "Here is an example of what we mean:\n",
    "\n",
    "### Parameter Lists\n",
    "```python\n",
    "batch_size_list = [100, 1000, 10000]\n",
    "lr_list = [.01, .001, .0001, .00001]\n",
    "```\n",
    "\n",
    "### Nested Iteration\n",
    "```python\n",
    "for batch_size in batch_size_list:\n",
    "    for lr in lr_list:\n",
    "        network = Network()\n",
    "\n",
    "        train_loader = torch.utils.data.DataLoader(\n",
    "            train_set, batch_size=batch_size\n",
    "        )\n",
    "        optimizer = optim.Adam(\n",
    "            network.parameters(), lr=lr\n",
    "        )\n",
    "\n",
    "        images, labels = next(iter(train_loader))\n",
    "        grid = torchvision.utils.make_grid(images)\n",
    "\n",
    "        comment=f' batch_size={batch_size} lr={lr}'\n",
    "        tb = SummaryWriter(comment=comment)\n",
    "        tb.add_image('images', grid)\n",
    "        tb.add_graph(network, images)\n",
    "\n",
    "        for epoch in range(5):\n",
    "            total_loss = 0\n",
    "            total_correct = 0\n",
    "            for batch in train_loader:\n",
    "                images, labels = batch # Get Batch\n",
    "                preds = network(images) # Pass Batch\n",
    "                loss = F.cross_entropy(preds, labels) # Calculate Loss\n",
    "                optimizer.zero_grad() # Zero Gradients\n",
    "                loss.backward() # Calculate Gradients\n",
    "                optimizer.step() # Update Weights\n",
    "\n",
    "                total_loss += loss.item() * batch_size\n",
    "                total_correct += get_num_correct(preds, labels)\n",
    "\n",
    "            tb.add_scalar(\n",
    "                'Loss', total_loss, epoch\n",
    "            )\n",
    "            tb.add_scalar(\n",
    "                'Number Correct', total_correct, epoch\n",
    "            )\n",
    "            tb.add_scalar(\n",
    "                'Accuracy', total_correct / len(train_set), epoch\n",
    "            )\n",
    "\n",
    "            for name, param in network.named_parameters():\n",
    "                tb.add_histogram(name, param, epoch)\n",
    "                tb.add_histogram(f'{name}.grad', param.grad, epoch)\n",
    "\n",
    "            print(\n",
    "                \"epoch\", epoch\n",
    "                ,\"total_correct:\", total_correct\n",
    "                ,\"loss:\", total_loss\n",
    "            )  \n",
    "        tb.close()\n",
    "```\n",
    "Once this code completes we run TensorBoard and all the runs will be displayed graphically and easily comparable.\n",
    "```python\n",
    "tensorboard --logdir runs\n",
    "```\n",
    "\n",
    "### Batch Size Vs Training Set Size\n",
    "When the training set size is **not divisible** by the batch size, the last batch of data will contain fewer samples than the other batches.\n",
    "\n",
    "One simple way to deal with this discrepancy is to **drop the last batch**. The PyTorch `DataLoader` class gives us the ability to do this by setting `drop_last=True`. By default the `drop_last` parameter value is set to `False`.\n",
    "\n",
    "Let's consider how including a batch with **fewer** samples than our batch size affects our `total_loss` calculation in the code above.\n",
    "\n",
    "For every batch, we are using the `batch_size` variable to update the `total_loss` value. We are scaling up the average loss value of the samples in the batch by the `batch_size` value. However, as we have just discussed, sometimes the last batch will contain **fewer samples**. Thus, scaling by the predefined `batch_size` value is **inaccurate**.\n",
    "\n",
    "The code can be updated to be **more accurate** by dynamically accessing the number of samples for each batch.\n",
    "\n",
    "Currently, we have the following:\n",
    "<center><b>total_loss += loss.item() * batch_size</b><center>\n",
    "    \n",
    "Using the updated code below, we can achieve a **more accurate** `total_loss` value:\n",
    "<center><b>total_loss += loss.item() * images.shape[0]</b><center>\n",
    "    \n",
    "Note that these two lines of code give us the **same `total_loss` value** when the training set size is **divisible** by the batch size."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Adding More Hyperparameters Without Nesting\n",
    "This is cool. However, what if we want to **add** a third or even a forth **parameter** to iterate on? We'll, this is going to get messy with many **nested for-loops**.\n",
    "\n",
    "There is a solution. We can create a **set of parameters for each run**, and package all of them up in a single iterable. Here's how we do it.\n",
    "\n",
    "If we have a list of parameters, we can package them up into a set for each of our runs using the [Cartesian product](https://en.wikipedia.org/wiki/Cartesian_product)笛卡尔积. For this we'll use the product function from the `itertools` library.\n",
    "```python\n",
    "from itertools import product\n",
    "```\n",
    "```python\n",
    "Init signature: product(*args, **kwargs)\n",
    "Docstring:     \n",
    "\"\"\"\n",
    "product(*iterables, repeat=1) --> product object\n",
    "Cartesian product of input iterables.  Equivalent to nested for-loops.\n",
    "\"\"\"\n",
    "```\n",
    "\n",
    "Next, we define a dictionary that contains parameters as keys and parameter values we want to use as values.\n",
    "```python\n",
    "parameters = dict(\n",
    "    lr = [.01, .001]\n",
    "    ,batch_size = [100, 1000]\n",
    "    ,shuffle = [True, False]\n",
    ")\n",
    "```\n",
    "\n",
    "Next, we'll create a list of iterables that we can pass to the `product` functions.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import product"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "parameters = dict(\n",
    "    lr = [.01, .001]\n",
    "    ,batch_size = [100, 1000]\n",
    "    ,shuffle = [True, False]\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[0.01, 0.001], [100, 1000], [True, False]]"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "param_values = [v for v in parameters.values()]\n",
    "param_values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, we have three lists of parameter values. After we take the `Cartesian product` of these three lists, we'll have a set of parameter values for each of our runs. Note that this is **equivalent to nested for-loops**, as the doc string of the product function indicates."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.01 100 True\n",
      "0.01 100 False\n",
      "0.01 1000 True\n",
      "0.01 1000 False\n",
      "0.001 100 True\n",
      "0.001 100 False\n",
      "0.001 1000 True\n",
      "0.001 1000 False\n"
     ]
    }
   ],
   "source": [
    "for lr, batch_size, shuffle in product(*param_values): \n",
    "    print (lr, batch_size, shuffle)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Alright, now we can iterate over each set of parameters using a **single for-loop**. All we have to do is unpack the set using sequence unpacking. It looks like this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "from itertools import product"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[0.01, 0.001], [100, 1000], [True, False]]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "parameters = dict(\n",
    "    lr = [.01, .001]\n",
    "    ,batch_size = [100, 1000]\n",
    "    ,shuffle = [True, False]\n",
    ")\n",
    "\n",
    "param_values = [v for v in parameters.values()]\n",
    "param_values"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.01 100 True\n",
      "0.01 100 False\n",
      "0.01 1000 True\n",
      "0.01 1000 False\n",
      "0.001 100 True\n",
      "0.001 100 False\n",
      "0.001 1000 True\n",
      "0.001 1000 False\n"
     ]
    }
   ],
   "source": [
    "for lr, batch_size, shuffle in product(*param_values): \n",
    "    print (lr, batch_size, shuffle)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "network = Network()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "epoch 0 total_correct: 52637 loss: 19891.152721643448\n",
      "epoch 1 total_correct: 53008 loss: 19167.039288580418\n",
      "epoch 2 total_correct: 52988 loss: 18870.563922822475\n",
      "epoch 3 total_correct: 53278 loss: 18310.201463103294\n",
      "epoch 4 total_correct: 53342 loss: 18091.77584722638\n",
      "epoch 0 total_correct: 53168 loss: 18768.856360018253\n",
      "epoch 1 total_correct: 53167 loss: 18633.65612924099\n",
      "epoch 2 total_correct: 53486 loss: 17885.47822982073\n",
      "epoch 3 total_correct: 53544 loss: 17562.410466372967\n",
      "epoch 4 total_correct: 53626 loss: 17287.45892867446\n",
      "epoch 0 total_correct: 54434 loss: 14869.529604911804\n",
      "epoch 1 total_correct: 54916 loss: 13181.718096137047\n",
      "epoch 2 total_correct: 55145 loss: 12655.702576041222\n",
      "epoch 3 total_correct: 55245 loss: 12386.82396709919\n",
      "epoch 4 total_correct: 55292 loss: 12149.377718567848\n",
      "epoch 0 total_correct: 55150 loss: 12699.76656138897\n",
      "epoch 1 total_correct: 55436 loss: 11706.546202301979\n",
      "epoch 2 total_correct: 55556 loss: 11351.040184497833\n",
      "epoch 3 total_correct: 55549 loss: 11482.550099492073\n",
      "epoch 4 total_correct: 55447 loss: 11549.788191914558\n",
      "epoch 0 total_correct: 55925 loss: 10413.176269456744\n",
      "epoch 1 total_correct: 56118 loss: 9826.354745775461\n",
      "epoch 2 total_correct: 56174 loss: 9646.259767562151\n",
      "epoch 3 total_correct: 56290 loss: 9436.249538511038\n",
      "epoch 4 total_correct: 56366 loss: 9284.829346835613\n",
      "epoch 0 total_correct: 56419 loss: 9150.348594039679\n",
      "epoch 1 total_correct: 56481 loss: 8931.009063497186\n",
      "epoch 2 total_correct: 56559 loss: 8782.042991742492\n",
      "epoch 3 total_correct: 56619 loss: 8653.101437538862\n",
      "epoch 4 total_correct: 56659 loss: 8561.125878989697\n",
      "epoch 0 total_correct: 56804 loss: 8219.622515141964\n",
      "epoch 1 total_correct: 56890 loss: 7991.351708769798\n",
      "epoch 2 total_correct: 56911 loss: 7910.4281812906265\n",
      "epoch 3 total_correct: 56984 loss: 7829.370208084583\n",
      "epoch 4 total_correct: 56969 loss: 7786.0607877373695\n",
      "epoch 0 total_correct: 56926 loss: 7872.944176197052\n",
      "epoch 1 total_correct: 56993 loss: 7753.958731889725\n",
      "epoch 2 total_correct: 57020 loss: 7673.195540904999\n",
      "epoch 3 total_correct: 57050 loss: 7626.141212880611\n",
      "epoch 4 total_correct: 57082 loss: 7578.517712652683\n"
     ]
    }
   ],
   "source": [
    "for lr, batch_size, shuffle in product(*param_values): \n",
    "    comment = f' batch_size={batch_size} lr={lr} shuffle={shuffle}'\n",
    "\n",
    "    train_loader = torch.utils.data.DataLoader(\n",
    "        train_set\n",
    "        ,batch_size=batch_size\n",
    "        ,shuffle=shuffle \n",
    "    )\n",
    "\n",
    "    optimizer = optim.Adam(\n",
    "        network.parameters(), lr=lr\n",
    "    )\n",
    "\n",
    "    #batch_size = 100\n",
    "    #lr =0.01\n",
    "\n",
    "    images, labels = next(iter(train_loader))\n",
    "    grid = torchvision.utils.make_grid(images)\n",
    "\n",
    "    tb = SummaryWriter(comment=comment)\n",
    "    tb.add_image('images', grid)\n",
    "    tb.add_graph(network, images)\n",
    "\n",
    "    for epoch in range(5):\n",
    "\n",
    "        total_loss = 0\n",
    "        total_correct = 0\n",
    "\n",
    "        for batch in train_loader: # Get Batch\n",
    "            images,labels = batch\n",
    "\n",
    "            preds = network(images)# Pass Batch\n",
    "            loss = F.cross_entropy(preds,labels)# Calculate Loss\n",
    "\n",
    "            optimizer.zero_grad()\n",
    "            loss.backward()# Calculate Gradient\n",
    "            optimizer.step()# Update Weights\n",
    "\n",
    "            total_loss += loss.item() * batch_size\n",
    "            total_correct += get_num_correct(preds,labels)\n",
    "\n",
    "        tb.add_scalar('Loss', total_loss, epoch)\n",
    "        tb.add_scalar('Number Correct', total_correct, epoch)\n",
    "        tb.add_scalar('Accuracy', total_correct / len(train_set), epoch)\n",
    "\n",
    "        #tb.add_histogram('conv1.bias', network.conv1.bias, epoch)\n",
    "        #tb.add_histogram('conv1.weight', network.conv1.weight, epoch)\n",
    "        #tb.add_histogram('conv1.weight.grad',network.conv1.weight.grad,epoch)\n",
    "\n",
    "        for name,weight in network.named_parameters():\n",
    "            tb.add_histogram(name,weight,epoch)\n",
    "            tb.add_histogram(f'{name}.grad',weight.grad,epoch)\n",
    "\n",
    "        print(\"epoch\", epoch, \"total_correct:\", total_correct, \"loss:\", total_loss)\n",
    "\n",
    "    tb.close()\n",
    "        # Rest of training process given the set of parameters"
   ]
  },
  {
   "attachments": {
    "multi-tb.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![multi-tb.png](attachment:multi-tb.png)"
   ]
  },
  {
   "attachments": {
    "multi-tb2.png": {
     "image/png": 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    }
   },
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![multi-tb2.png](attachment:multi-tb2.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Quiz 06\n",
    "1. To uniquely identify each run using TensorBoard, we can either set the file name of the run directly, or pass a _______________ to the SummaryWriter constructor that will be appended to the auto-generated file name.\n",
    "  * comment string\n",
    "\n",
    "\n",
    "2. The code below is from the PyTorch version 1.1.0 SummaryWriter class. Complete this code by choosing the correct variable that should go where the question mark is located.\n",
    "```python\n",
    "if not log_dir:\n",
    "    import socket\n",
    "    from datetime import datetime\n",
    "    current_time = datetime.now().strftime('%b%d_%H-%M-%S')\n",
    "    log_dir = os.path.join(\n",
    "        'runs', \n",
    "        current_time + '_' + socket.gethostname() + ?\n",
    "    )\n",
    "self.log_dir = log_dir\n",
    "```\n",
    "  * comment\n",
    "\n",
    "\n",
    "3. In the code below, the term batch_size appears twice. How do we interpret this?\n",
    "  * The parameter name is on the left and the parameter value as a variable is on the right.\n",
    "  \n",
    "  \n",
    "4. If we want to compare the total loss values for runs that have different batch sizes, we need to normalize the total loss calculation using which operation? Note that this depends on the **reduction** operation inside the **loss function**. We are assuming the default behavior which is taking the `mean`.\n",
    "```python\n",
    "total_loss += loss.item() ? batch_size\n",
    "```\n",
    "  * *"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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